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completed ma tests

refactoring
hannah 4 years ago
committed by Matthias Volk
parent
commit
3523b97e46
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  1. 173
      tests/storage/test_model_components.py

173
tests/storage/test_model_components.py

@ -16,8 +16,6 @@ class TestSparseModelComponents:
assert components.player1_matrix is None
assert not components.rate_transitions
# todo: ctmc
# todo: ma
# todo mdp
# todo pomdp?
@ -253,12 +251,12 @@ class TestSparseModelComponents:
assert ctmc.nr_choices == nr_choices
assert ctmc.nr_states == nr_states
assert ctmc.nr_transitions == 22
assert ctmc.transition_matrix.nr_columns == nr_choices
assert ctmc.transition_matrix.nr_rows == nr_states
assert ctmc.transition_matrix.nr_columns == nr_states
assert ctmc.transition_matrix.nr_rows == nr_choices
for e in ctmc.transition_matrix:
assert e.value() == 0.5 or e.value() == 0 or e.value() == 200 or e.value() == 1.0
for state in ctmc.states:
assert len(state.actions) <= 3
assert len(state.actions) <= 1
# Test state_labeling
assert ctmc.labeling.get_labels() == {'target', 'init', 'deadlock'}
@ -267,13 +265,15 @@ class TestSparseModelComponents:
assert len(ctmc.reward_models) == 2
assert not ctmc.reward_models["served"].has_state_rewards
assert ctmc.reward_models["served"].has_state_action_rewards
assert ctmc.reward_models["served"].state_action_rewards == [0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666, 0.0, 0.0, 1.0, 0.0,
assert ctmc.reward_models["served"].state_action_rewards == [0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666, 0.0,
0.0, 1.0, 0.0,
0.0, 0.0]
assert not ctmc.reward_models["served"].has_transition_rewards
assert ctmc.reward_models["waiting"].has_state_rewards
assert not ctmc.reward_models["waiting"].has_state_action_rewards
assert ctmc.reward_models["waiting"].state_rewards == [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
assert ctmc.reward_models["waiting"].state_rewards == [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0,
1.0]
assert not ctmc.reward_models["waiting"].has_transition_rewards
# Test choice_labeling
@ -292,10 +292,10 @@ class TestSparseModelComponents:
value_a[s] = ctmc.state_valuations.get_integer_value(s, var_a)
value_s1[s] = ctmc.state_valuations.get_integer_value(s, var_s1)
value_s2[s] = ctmc.state_valuations.get_integer_value(s, var_s2)
assert value_s == [1,1,1,2,1,1,2,2,1,2,2,2]
assert value_a == [0,0,0,0,0,1,0,0,1,0,1,1]
assert value_s1 == [0,1,0,0,1,1,0,1,1,1,0,1]
assert value_s2 == [0,0,1,0,1,0,1,0,1,1,1,1]
assert value_s == [1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2, 2]
assert value_a == [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1]
assert value_s1 == [0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1]
assert value_s2 == [0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1]
# Test choice_origins
assert not ctmc.has_choice_origins()
@ -303,3 +303,154 @@ class TestSparseModelComponents:
# Test exit_rates
assert ctmc.exit_rates == [201.0, 200.5, 200.5, 201.0, 200.0, 1.5, 200.5, 200.5, 1.0, 200.0, 1.5, 1.0]
def test_build_ma_from_model_components(self):
nr_states = 5
nr_choices = 10
# Build transition_matrix
builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False,
has_custom_row_grouping=True, row_groups=0)
# Row group, state 0
builder.new_row_group(0)
# Add Transition for (state) 0 to target states
builder.add_next_value(0, 2, 1)
builder.add_next_value(1, 2, 1)
builder.add_next_value(2, 0, 0.8)
builder.add_next_value(2, 1, 0.2)
# Row group, state 1
builder.new_row_group(3)
# New Transition (state) 1 to target state
builder.add_next_value(3, 3, 1)
# Row group, state 2
builder.new_row_group(4)
# New Transition (state) 1 to target state
builder.add_next_value(4, 0, 0.9)
builder.add_next_value(4, 4, 0.1)
# Row group, state 3
builder.new_row_group(5)
# New Transition (state) 1 to target state
builder.add_next_value(5, 4, 1)
builder.add_next_value(6, 3, 1)
# Row group, state 4
builder.new_row_group(7)
# New Transition (state) 1 to target state
builder.add_next_value(7, 3, 0.5)
builder.add_next_value(7, 4, 0.5)
builder.add_next_value(8, 3, 1)
builder.add_next_value(9, 4, 1)
transition_matrix = builder.build(nr_choices, nr_states)
# state_labeling
state_labeling = stormpy.storage.StateLabeling(nr_states)
# Add labels
state_labels = {'init', 'deadlock'}
for label in state_labels:
state_labeling.add_label(label)
# Add label to states
state_labeling.add_label_to_state('init', 0)
# state_valuations
manager = stormpy.ExpressionManager()
var_s = manager.create_integer_variable(name='s')
v_builder = stormpy.StateValuationsBuilder()
v_builder.add_variable(var_s)
v_builder.add_state(state=0, boolean_values=[], integer_values=[0], rational_values=[])
v_builder.add_state(state=1, boolean_values=[], integer_values=[2], rational_values=[])
v_builder.add_state(state=2, boolean_values=[], integer_values=[1], rational_values=[])
v_builder.add_state(state=3, boolean_values=[], integer_values=[4], rational_values=[])
v_builder.add_state(state=4, boolean_values=[], integer_values=[3], rational_values=[])
state_valuations = v_builder.build(nr_states)
# choice origins:
prism_program = stormpy.parse_prism_program(get_example_path("ma", "hybrid_states.ma"))
index_to_identifier_mapping = [1, 2, 3, 4, 5, 6, 7, 8, 9,
10]
id_to_command_set_mapping = [stormpy.FlatSet() for _ in range(11)]
id_to_command_set_mapping[1].insert(2)
id_to_command_set_mapping[2].insert(1)
id_to_command_set_mapping[3].insert(0)
id_to_command_set_mapping[4].insert(4)
id_to_command_set_mapping[5].insert(3)
id_to_command_set_mapping[6].insert(9)
id_to_command_set_mapping[7].insert(8)
id_to_command_set_mapping[8].insert(7)
id_to_command_set_mapping[9].insert(6)
id_to_command_set_mapping[10].insert(5)
choice_origins = stormpy.PrismChoiceOrigins(prism_program, index_to_identifier_mapping,
id_to_command_set_mapping)
exit_rates = [3.0, 12.0, 10.0, 3.0, 4.0]
markovian_states = stormpy.BitVector(5, [0, 1, 2, 3, 4])
# Build components, set rate_transitions to False
components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling,
rate_transitions=False, markovian_states=markovian_states)
components.state_valuations = state_valuations
components.choice_origins = choice_origins
components.exit_rates = exit_rates
ma = stormpy.storage.SparseMA(components)
assert type(ma) is stormpy.SparseMA
assert not ma.supports_parameters
# Test transition matrix
assert ma.nr_choices == nr_choices
assert ma.nr_states == nr_states
assert ma.nr_transitions == 13
assert ma.transition_matrix.nr_columns == nr_states
assert ma.transition_matrix.nr_rows == nr_choices
# Check row groups
assert ma.transition_matrix.get_row_group_start(0) == 0
assert ma.transition_matrix.get_row_group_end(0) == 3
assert ma.transition_matrix.get_row_group_start(1) == 3
assert ma.transition_matrix.get_row_group_end(1) == 4
assert ma.transition_matrix.get_row_group_start(2) == 4
assert ma.transition_matrix.get_row_group_end(2) == 5
assert ma.transition_matrix.get_row_group_start(3) == 5
assert ma.transition_matrix.get_row_group_end(3) == 7
assert ma.transition_matrix.get_row_group_start(4) == 7
assert ma.transition_matrix.get_row_group_end(4) == 10
for e in ma.transition_matrix:
assert e.value() == 1.0 or e.value() == 0 or e.value() == 0.8 or e.value() == 0.2 or e.value() == 0.1 or e.value() == 0.5 or e.value() == 0.9
for state in ma.states:
assert len(state.actions) <= 3
# Test state_labeling
assert ma.labeling.get_labels() == {'deadlock', 'init'}
# Test reward_models
assert len(ma.reward_models) == 0
# Test choice_labeling
assert not ma.has_choice_labeling()
# Test state_valuations
assert ma.has_state_valuations()
value_s = [None] * nr_states
for s in range(0, ma.nr_states):
value_s[s] = ma.state_valuations.get_integer_value(s, var_s)
assert value_s == [0, 2, 1, 4, 3]
# Test choice_origins
assert ma.has_choice_origins()
assert ma.choice_origins.get_number_of_identifiers() == 11
# Test exit_rates
assert ma.exit_rates == [3.0, 12.0, 10.0, 3.0, 4.0]
# Test markovian states
assert ma.markovian_states == stormpy.BitVector(5, [0, 1, 2, 3, 4])
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